Multi-strategy serial cuckoo search algorithm for global optimization

作者：

Highlights：

• Inspired by the three serial behaviors of the cuckoo, a multi-strategy serial cuckoo search algorithm is proposed.

• Three new learning strategies are proposed to enhance the performance of cuckoo search algorithm.

• Based on these three serial behaviors, a multi-strategy serial framework is presented to maximize the performance of learning strategies.

• The adaptive parameter is designed to dynamically regulate the serial framework.

摘要

•Inspired by the three serial behaviors of the cuckoo, a multi-strategy serial cuckoo search algorithm is proposed.•Three new learning strategies are proposed to enhance the performance of cuckoo search algorithm.•Based on these three serial behaviors, a multi-strategy serial framework is presented to maximize the performance of learning strategies.•The adaptive parameter is designed to dynamically regulate the serial framework.

论文关键词：Cuckoo search algorithm,Meta-heuristic algorithm,Multi-strategy,Serial framework

论文评审过程：Received 27 October 2020, Revised 26 December 2020, Accepted 28 December 2020, Available online 30 December 2020, Version of Record 4 January 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106729